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Researcher · The University of Melbourne · Australia

Damith Senanayake

Damith Senanayake publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology, on topics such as Cell Image Analysis Techniques, Single-cell and spatial transcriptomics and Domain Adaptation and Few-Shot Learning.

ORCID 0000-0003-1233-4844 OpenAlex
World rank
#2,011,744
of 7,710,434 ranked researchers
Rank in Australia
#59,096
of 140,210
Works
31
Citations
322
Citations per work
10.4
h-index
9
i10-index 9Top 49% in Artificial Intelligence
Damith Senanayake

What does Damith Senanayake research?

Damith Senanayake's work is mostly in Computer Science (31%), Biochemistry, Genetics and Molecular Biology (16%), Engineering (6%).

Everything else: 13 works · 42.3% of their workPhysical Sciences: 12 works · 37.6% of their workComputer Science: 10 works · 31.3% of their workArtificial Intelligence: 6 works · 18.8% of their workComputer Vision and Pattern Recognition: 4 works · 12.5% of their workEngineering: 2 works · 6.3% of their workBiomedical Engineering: 2 works · 6.3% of their workLife Sciences: 5 works · 16.3% of their workBiochemistry, Genetics and Molecular Biology: 5 works · 16.3% of their workMolecular Biology: 4 works · 11.3% of their workBiophysics: 2 works · 5.0% of their workHealth Sciences: 1 works · 3.8% of their workHealth Professions: 1 works · 3.8% of their workPhysical Therapy, Sports Therapy and Rehabilitation: 1 works · 3.8% of their workTHEIR WORKDamith Senanayake31works
Life Sciences16%Physical Sciences38%Health Sciences4%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
  1. Everything else1342.3%
    1. Computer Science1031.3%
    2. Engineering26.3%
    1. Biochemistry, Genetics and Molecular Biology516.3%
    1. Health Professions13.8%
  1. 1Artificial Intelligence19% of their works
  2. 2Computer Vision and Pattern Recognition12% of their works
  3. 3Molecular Biology11% of their works
  4. 4Biomedical Engineering6% of their works
  5. 5Biophysics5% of their works
  6. 6Physical Therapy, Sports Therapy and Rehabilitation4% of their works

Research topics

Which keywords describe Damith Senanayake's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Gene Expression, Bioimage Analysis, Domain Adaptation, High-Content Screening, Single-Cell and Transcriptomics.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 19 words, with their numbers
  1. Machine Learning104 topics
  2. Deep Learning62 topics
  3. Gene Expression62 topics
  4. Bioimage Analysis41 topic
  5. Domain Adaptation41 topic
  6. High-Content Screening41 topic
  7. Single-Cell41 topic
  8. Transcriptomics41 topic
  9. Transfer Learning41 topic
  10. Fall Risk31 topic
  11. Gait Speed31 topic
  12. Cortical Networks21 topic
  13. Data Analysis21 topic
  14. Forecasting21 topic
  15. Histopathology Images21 topic
  16. Medical Image Analysis21 topic
  17. Microarray21 topic
  18. Neuronal Oscillations21 topic
  19. Solar Radiation21 topic

Where does Damith Senanayake work?

Damith Senanayake's main affiliation in the publication record is The University of Melbourne, Australia.

How many publications and citations does Damith Senanayake have?

OpenAlex counts 31 works and 322 citations for Damith Senanayake, an h-index of 9, ranking #2,011,744 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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